How to Use Behavioral Research Insights on Trust for HCI System Design

Söllner, Matthias; Hoffmann, Axel; Hoffmann, Holger; Leimeister, Jan Marco

doi:10.2139/ssrn.2484637

Cited by 7 publications

(13 citation statements)

References 9 publications

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“…Research in trust engineering suggests that trust itself can hardly be addressed [3], and that it is better to address the different antecedents that increase trust. Trust antecedent are factors or elements that build trust.…”

Section: Trustmentioning

confidence: 99%

“…DinnerNow [3] The mental model can be formed if a system is transparent. Transparency refers to the extent to which the system is clear or easily discerned [24].…”

Section: Known Usesmentioning

confidence: 99%

“…DinnerNow [3] Information accuracy refers to fact that users will more likely to trust a system that uses accurate, current, and complete data or information [9]. Since the perception regarding sources that are accurate, current and complete may differ across different user, the user should have the possibility to select which sources should be used (Tab IV).…”

Section: Known Usesmentioning

confidence: 99%

“…DinnerNow [3] Personalization is defined as a user's perception of the extent to which the system understands and represents his or her personal needs [6]. This means, that users' trust increases if they have setting options to adapt the system according to their needs.…”

Section: Known Usesmentioning

confidence: 99%

“…On the other hand, trust research has produced a vast amount of insights on trust and the formation of trust [3]. This overwhelming amount of insights requires a deep and broad understanding of concepts of trust to deduct requirements for system functionality that enhances the users' trust in the system.…”

Section: Introductionmentioning

confidence: 99%

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Towards Trust-Based Software Requirement Patterns

et al. 2012

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Users adopt trust to reduce social complexity that can be caused by the lack of knowledge about the inner working of an information system. Our aim is to translate results from trust research about the transformation of user trust in new technologies into software requirement patterns. Therefore, we collect antecedents that build trust, and develop requirement patterns that demand functionality to support these antecedents. This paper presents software requirement patterns consisting of the name, the goal, forces and the predefined requirement template that can be used to specify trust based requirements.

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Section: Trustmentioning

confidence: 99%

“…DinnerNow [3] The mental model can be formed if a system is transparent. Transparency refers to the extent to which the system is clear or easily discerned [24].…”

Section: Known Usesmentioning

confidence: 99%

Section: Known Usesmentioning

confidence: 99%

Section: Known Usesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards Trust-Based Software Requirement Patterns

et al. 2012

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Incorporating behavioral trust theory into system development for ubiquitous applications

Hoffmann

Söllner

2012

Pers Ubiquit Comput

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Trust has been shown to be a key factor for technology adoption by users, that is, users prefer to use applications they trust. While existing literature on trust originating in computer science mostly revolves around aspects of information security, authentication, etc., research on trust in automation-originating from behavioral sciences-almost exclusively focuses on the sociotechnical context in which applications are embedded. The behavioral theory of trust in automation aims at explaining the formation of trust, helping to identify countermeasures for users' uncertainties that lead to lessened trust in an application. We hence propose an approach to augment the system development process of ubiquitous systems with insights into behavioral trust theory. Our approach enables developers to derive design elements that help foster trust in their application by performing four key activities: identifying users' uncertainties, linking them to trust antecedents from theory, deducting functional requirements and finally designing trust-supporting design elements (TSDEs). Evaluating user feedback on two recommender system prototypes, gathered in a study with over 160 participants, we show that by following our process, we were able to derive four TSDEs that helped to significantly increase the users' trust in the system.

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Designing for Trust in Blockchain Platforms

Zavolokina¹,

Zani²,

Schwabe³

2023

IEEE Trans. Eng. Manage.

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Trust is a crucial component for successful transactions regardless of whether they are executed in physical or virtual spaces. Blockchain technology is often discussed in the context of trust and referred to as a trust-free, trustless, or trustworthy technology. However, the question of how the trustworthiness of blockchain platforms should be demonstrated and proven to end users still remains open. While there may be some genuine trust in the blockchain technology itself, on an application level trust in an IT artifact needs to be established. In this article, we examine how trust-supporting design elements may be implemented to foster an end user's trust in a blockchain platform. We follow the design science paradigm and suggest a practically useful set of design elements that can help designers of blockchain platforms to build more trustworthy systems.

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How to Use Behavioral Research Insights on Trust for HCI System Design

Cited by 7 publications

References 9 publications

Towards Trust-Based Software Requirement Patterns

Towards Trust-Based Software Requirement Patterns

Incorporating behavioral trust theory into system development for ubiquitous applications

Designing for Trust in Blockchain Platforms

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